Function calculate_multimodality

diffplanner/core/evaluation/utils.py:122–130

(activation, multimodality_times)

def calculate_multimodality(activation, multimodality_times):
    assert len(activation.shape) == 3
    assert activation.shape[1] > multimodality_times
    num_per_sent = activation.shape[1]

    first_dices = np.random.choice(num_per_sent, multimodality_times, replace=False)
    second_dices = np.random.choice(num_per_sent, multimodality_times, replace=False)
    dist = linalg.norm(activation[:, first_dices] - activation[:, second_dices], axis=2)
    return dist.mean()